Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
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Updated
Jun 12, 2024 - R
Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
TCGAbiolinks
Building classifiers using cancer transcriptomes across 33 different cancer-types
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
📦 An R package for accessing genomics data from UCSC Xena platform, from cancer multi-omics to single-cell RNA-seq https://cran.r-project.org/web/packages/UCSCXenaTools/
Putting machine learning in the hands of cancer biologists
Provide R access to the NCI Genomic Data Commons portal.
Bioconductor package for management of multi-assay data
BioBombe: Sequentially compressed gene expression features enhances biological signatures
PathwayMapper: An interactive and collaborative graphical curation tool for cancer pathways
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages
Tool to download/merge RNASeq data from the GDC Portal in matrices identified by TCGA barcode
Interactive R package to quantify, analyse and visualise alternative splicing
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
TCGA data acquisition and processing for Project Cognoma
Toolbox package for organizing and working with TCGA data
A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
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